Periodic systems have new classes of synchronization stability
The master stability function is a robust and useful tool for determining the conditions of synchronization stability in a network of coupled systems. While a comprehensive classification exists in the case in which the nodes are chaotic dynamical systems, its application to periodic systems has been less explored. By studying several well-known periodic systems, we establish a comprehensive framework to understand and classify their properties of synchronizability. This allows us to define five distinct classes of synchronization stability, including some that are unique to periodic systems. Specifically, in periodic systems, the master stability function vanishes at the origin, and it can therefore display behavioral classes that are not achievable in chaotic systems, where it starts, instead, at a strictly positive value. Moreover, our results challenge the widely held belief that periodic systems are easily put in a stable synchronous state, showing, instead, the common occurrence of a lower threshold for synchronization stability. Published by the American Physical Society 2024
Authors
- Sajad Jafari (ORCID: https://orcid.org/0000-0002-6845-7539)
- Atiyeh Bayani (ORCID: https://orcid.org/0000-0002-0822-0812)
- Fatemeh Parastesh (ORCID: https://orcid.org/0000-0002-0237-313X)
- Charo I. del Genio (ORCID: https://orcid.org/0000-0001-9958-017X)
- Karthikeyan Rajagopal
- Stefano Boccaletti (ORCID: https://orcid.org/0000-0002-5758-7012)
- Ludovico Minati (ORCID: https://orcid.org/0000-0002-2532-1674)
Institutions
- North University of China (CN)
- SRM Institute of Science and Technology (IN)
- University of Electronic Science and Technology of China (CN)
- Amirkabir University of Technology (IR)
- Ningbo University of Technology (CN)
- Trakia University (BG)
- University of Trento (IT)
- Institute for Complex Systems (IT)
Publication Details
- Journal
- Physical Review Research
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1103/physrevresearch.6.043105
- Citations
- 7
- Primary Topic
- Nonlinear Dynamics and Pattern Formation
- Type
- article
- Field-Weighted Citation Impact
- 2.44
Funders
- National Natural Science Foundation of China
- University of Electronic Science and Technology of China
- Ministry of Education and Science
- Ministero degli Affari Esteri e della Cooperazione Internazionale